I got set of data that includes:
Gender: categorical (classified as IV in jasp)
Ethnicity: categorical (classified as IV in jasp)
Congruent: continuous data (classified as DV in jasp)
Incongruent: continuous data (classified as DV in jasp)
I have been asked the following questions:
Is there a significant interaction between ethnicity and implicit association?
I am struggling to choose the correct test; I am trying ANOVA but actually I don’t know what I should measure to answer the question!
Is it the interaction between Ethnicity and gender? What about congruency data?
For analysis of categorical (nominal) data with an independent groups design, chi square is the answer. It does not matter how many variables are involved. In the past i have analysed UK census data which is mostly nominal. Sometimes the output ran to 100 pages due to the complexity of variables, and being analysed from national to local level.
This is true, and that is why we must be careful and careful in such scientific matters
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